AI Research Engineer in Neuroscience | Cognitive AI Scientist

I am an AI Research Engineer working at the intersection of Artificial Intelligence and healthcare, with a focused interest in neuropathic pain and neuroscience. My expertise spans AI research in neuroscience, NLP and Large Language Model (LLM) engineering, and cognitive data science, allowing me to approach complex biological and cognitive problems from both research and applied perspectives. Driven in part by a personal connection to chronic pain, my work is centered on translating advanced AI methodologies into clinically meaningful and interpretable models. My long-term goal is to develop AI-driven diagnostic and predictive systems for neuropathic pain that enable early risk identification and treatment response forecasting, contributing to interdisciplinary research and industry-aligned development in personalized pain management.

• Machine Learning & Deep Learning
• NLP & Large Language Models (LLMs)
• AI Agents & Responsible AI
• Healthcare AI & medical data
• Cloud-native AI systems (AWS)

• Neuropathic pain & sensory neuroscience
• Multiple Sclerosis & neurodegenerative disorders
• Cognitive reading states & attention
• Multimodal AI for clinical prediction

• Predictive Modeling of Multiple Sclerosis Risk in CIS Patients (NeuroQuantix)
  • 🟡 Ongoing – Research
  • Multimodal predictive models are being developed to identify early Multiple Sclerosis risk in Clinically Isolated Syndrome patients.
• Generative AI Knowledge Base with AWS Bedrock, Aurora & Terraform (Udacity - AWS)
  • ✅ Completed – Industry | 👉 GitHub
  • A cloud-native RAG system was built to enable natural language querying over technical documents using AWS infrastructure.
• Smart Budget Buddy: A Responsible AI Agent (Udacity - AWS)
  • ✅ Completed – Industry | 👉 GitHub
  • A safety-focused conversational AI agent was developed to teach financial literacy using responsible AI guardrails.
• Distinguishing Cognitive Reading States using NLP and Transformers (NeuroQuantix)
  • ✅ Completed – Research | 👉 GitHub
  • Transformer-based NLP models were applied to classify cognitive reading states using linguistic features from the ZuCo dataset.
• Optimization of Human Sensory Neuron Differentiation for Pain Research (LifeArc)
  • ✅ Completed – Research) | 👉 GitHub
  • Multimodal data analysis was used to optimize fibroblast-to-sensory neuron differentiation protocols for pain research.
• Low-Grade Glioma Segmentation
  • ✅ Completed – Research | 👉 GitHub
  • Deep learning–based segmentation models were developed to identify low-grade gliomas from brain MRI scans.
• Alzheimer’s Disease Progression Prediction with MRI
  • ✅ Completed – Research | 👉 GitHub
  • MRI-based features were used with machine learning models to predict the progression stages of Alzheimer’s disease.
• Personalized Medicine: Redefining Cancer Treatment
  • ✅ Completed – Research | 👉 GitHub
  • Personalized therapeutic strategies based on patient-specific data.
• Estimating COVID-19 ICU Admission Probability
  • ✅ Completed – Research | 👉 GitHub
  • Predictive models were developed to estimate the likelihood of confirmed COVID-19 patients requiring ICU admission.
• Pneumonia Detection on Chest X-ray Images (Keras)
  • ✅ Completed – Research | 👉 GitHub
  • Deep learning models implemented with Keras were used to classify pneumonia from chest X-ray images.

• MicroMasters in Artificial Intelligence | Columbia University (Sep 2020 - Aug 2021)
• Bachelor of Engineering in Computer Engineering | Altınbaş University (Sep 2014 - Aug 2019)

• Founder & AI Research Engineer in Neuroscience | NeuroQuantix (Jan 2025 - Present)
• AI Coding Specialist | NLP Engineer | Outlier (Nov 2024 - Aug 2025)
• Prompt Engineer | Outlier (Jul 2024 - Nov 2024)
• NLP Engineer | hevi.ai (May 2023 - Jun 2024)
• ML & Deep Learning Engineer | UpSchool & Google Developers (Jul 2022 - Jan 2023)
• Machine Learning Project Team Lead | Kodluyoruz (Sep 2021 - Nov 2021)
• Artificial Intelligence Engineer (Internship) | Conff R&D (Jan 2019 - Sep 2019)

• Data Mining Analyst | AYA: Açık Yazılım Ağı (Feb 2023 - May 2023) - Kahramanmaraş Earthquake
  • Data-driven analysis to support community-led disaster response and recovery efforts.
• Research Student | Arterys (Oct 2020 - Sep 2021)
  • Participated in research activities focused on medical imaging and AI applications in diagnostics.

• Awarded an AWS AI & ML Scholarship for the "Future AWS AI Engineer" Nanodegree program after placing in the top 3% of a global pool of 50,000 participants.
• Achieved a 94% score on the IBM Advanced Machine Learning Specialist Exam.
• Awarded 8th out of 64 global participants (top 12%) in the Google ML Olympiad 2023 Breast Cancer Diagnosis Competition.
• Awarded a Bertelsmann Technology Scholarship for the Udacity AI Product Manager program after placing in the top 10% of an initial 50,000 participant challenge.

• Future AWS AI Engineer | AWS / Udacity (October 2025) - Certificate
• IBM Machine Learning Specialist Advanced Badge | IBM / Credly (January 2025) - Certificate
• AI for Healthcare Specialization | DeepLearning.AI / Coursera (October 2024) - Certificate · Transcript
• Computational Neuroscience | University of Washington / Coursera (September 2024) - Certificate
• Machine Learning Engineering for Production Specialization | DeepLearning.AI / Coursera (September 2024) - Certificate
• Fundamentals of Neuroscience XSeries Program | Harvard University / edX (May 2022) - Certificate

• Programming and Language Technologies: Python, R, SQL (PostgreSQL), MATLAB, Bash
• Data Science & Machine Learning: PyTorch, TensorFlow, Keras, Scikit-Learn, Pandas, NumPy, Hugging Face, LangChain, Retrieval-Augmented Generation (RAG), Prompt Engineering
• Computational Neuroscience: Neuroimaging Analysis (MNE-Python, Nilearn, NiBabel, FSL), Medical Image Analysis, Statistical Modeling
• Cloud Technologies: AWS (Bedrock, S3, Aurora, SageMaker, Guardrails), Google Cloud Platform (GCP), Azure
• DevOps & Version Control: Docker, Kubernetes, Git, MLflow , Terraform (Infrastructure as Code)
• Web & API Development: FastAPI, Gradio, Ollama
• Research Skills: Responsible AI, AI Agent Design, Experimental Design, Statistical Analysis, Data Synthesis, Benchmarking, Model Validation, Scientific Communication

Curated scientific and research-oriented writing on AI, neuroscience, and healthcare:

👉 Scientific Writings – AI & Neuroscience
👉 AI News in Healthcare – Research Commentary
👉 NeuroQuantix Research Blog

I am always open to discussing collaborative opportunities, research initiatives, and advancements in AI and neuroscience. Please feel free to connect.

Linkedin | Kaggle | Personal Website | Mail